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98.2
TFLOPS
Sen Ben
senigiro
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16 following
sbendhiba
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Recent Activity
reacted
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danielhanchen
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with 🔥
1 day ago
Today, we're releasing the highest accuracy Qwen3.8-27B GGUFs! Our new Dynamic V3.1 GGUFs lead by 5–10% on average across Terminal Bench, DeepSWE & more. We’re working on an even better version for Qwen4. Run on 12GB RAM setups GGUF: https://huggingface.co/unsloth/Qwen3.8-27B-GGUF Blog: https://unsloth.ai/docs/models/qwen3.8
replied
to
danielhanchen
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post
3 days ago
Qwen3.8-Flash-Next GGUFs now run faster with less thinking and less token use. Unsloth Dynamic V3.1 GGUFs bring thinking & token use to match 95% of full precision Qwen3.8-Flash. Results: 50% fewer tokens + 15% higher accuracy vs same size quants. GGUF: https://huggingface.co/unsloth/Qwen3.8-Flash-Next-GGUF Analysis/Guide: https://unsloth.ai/docs/models/qwen3.8-next
reacted
to
beamster
's
post
with ❤️
6 days ago
Last Qwen3.8 Flash update with STQ 2.75bpw v2.0 pack. It moves away from hybrid affine/stq format to pure STQ with +15% quality to match oQ4e. 64GB users can enjoy this while waiting for Qwen 4! Require Sushi 1.5.1 ro run.
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senigiro/LiquidCode-2.5-24B-A2B-SFT-chats
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2 days ago
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senigiro/lfm2.5-24b-scaffold-agentic
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